No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by wanshuiyin · MCP Server · ★ 14.8k
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Auto-claude-code-research-in-sleep (ARIS ⚔️) 中文版 README | English 🌙 Let Claude Code do research while you sleep. Wake up to find your paper scored, weaknesses identified, experiments run, and narrative rewritten — autonomously. · 💬 Join Community Custom Claude Code skills for autonomous ML research workflows. These skills orchestrate cross-model collaboration — Claude Code drives the research while an external LLM (via Codex MCP) acts as a critical reviewer. 🔀 Also supports alternative model combinations (e.g., GLM + GPT, GLM + MiniMax) — no Claude API required. 💭 Why not self-play with a single model? Using Claude Code subagents or agent teams for both execution and review is technically possible, but tends to fall into local minima — the same model reviewing its own patterns creates blind spots. Think of it like adversarial vs. stochastic bandits: a single model self-reviewing is the stochastic case (predictable reward noise), while cross-model review is adversarial (the reviewer actively probes weaknesses the executo
| Stars | 14,836 |
| Forks | 1,306 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 63.5920850994323/100 |
| Open Issues | 68 |
| Last Updated | 2026-08-18 |
| Created | 2026-03-10 |
| Platforms | claude-code, codex, mcp, python |
| Est. Tokens | ~20k |
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Auto-claude-code-research-in-sleep is ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works wi. It is categorized as a MCP Server with 14.8k GitHub stars.
Auto-claude-code-research-in-sleep is primarily written in Python. It covers topics such as ai-research, ai-tools, aris.
You can find installation instructions and usage details in the Auto-claude-code-research-in-sleep GitHub repository at github.com/wanshuiyin/Auto-claude-code-research-in-sleep. The project has 14.8k stars and 1306 forks, indicating an active community.
Auto-claude-code-research-in-sleep is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Auto-claude-code-research-in-sleep on Agent Skills Hub include ai-guide, Unity-MCP, repomix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.